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Building AI Agents with LLMs, RAG, and Knowledge Graphs. A Practical Guide to Autonomous and Modern AI Agents Salvatore Raieli, Gabriele Iuculano

Język publikacji: 1
Building AI Agents with LLMs, RAG, and Knowledge Graphs. A Practical Guide to Autonomous and Modern AI Agents Salvatore Raieli, Gabriele Iuculano - okladka książki

Building AI Agents with LLMs, RAG, and Knowledge Graphs. A Practical Guide to Autonomous and Modern AI Agents Salvatore Raieli, Gabriele Iuculano - okladka książki

Autorzy:
Salvatore Raieli, Gabriele Iuculano
Serie wydawnicze:
Other Role Guide
Wydawnictwo:
Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
Ocena:
This AI Agents book addresses the challenge of building AI that not only generates text but also grounds its responses in real data and takes action. It focuses on Retrieval-Augmented Generation (RAG), knowledge graphs, and agent-based architectures, teaching you to harness these techniques for truly intelligent behavior. By blending large language models with up-to-date information retrieval and structured knowledge, you'll create AI agents capable of deeper reasoning and more reliable problem-solving.
Inside, you'll find a practical roadmap from concept to implementation. Discover how to connect language models with external data via RAG pipelines for factual accuracy, and how to incorporate knowledge graphs for context-rich reasoning. You'll build and orchestrate autonomous agents that combine planning, tool use, and knowledge retrieval to achieve complex goals. With concrete Python examples using popular libraries, along with real-world case studies, reinforce each concept and show how these techniques come together.
You will use hands-on techniques and industrial applications. By the end, this book will equip you to build intelligent AI agents that reason, retrieve, and interact dynamically empowering you to deploy powerful AI solutions across industries.

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O autorach książki

Salvatore Raieli is a Senior Data Scientist in a pharmaceutical company with a focus on using artificial intelligence for drug discovery against cancer. He has an MSc in Artificial Intelligence and a PhD in Immunology and has experience in building neural networks to solve complex problems with large datasets. He enjoys building artificial intelligence applications for concrete challenges that can lead to societal benefits. In his spare time, he writes in his popularization blog on artificial intelligence (Medium). Originally from Italy, he currently lives in France.
Gabriele Iuculano boasts extensive expertise in embedded systems and Artificial Intelligence. Leading a team as the Test Platform Lead, Gabriele has been instrumental in architecting a sophisticated simulation system that underpins a cutting-edge test automation platform. He is committed to integrating AI-driven solutions, focusing on predictive maintenance systems to anticipate needs and prevent downtimes. He obtained his MSc in AI from the University of Leeds, demonstrating expertise in leveraging AI for system efficiencies. Gabriele aims to revolutionize current business through the power of new disruptive technologies such as artificial intelligence.

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